Big Scientific Data Management - First International Conference, BigSDM 2018, Beijing, China, November 30 - December 1, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)


This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018. The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.

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Product Description

This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018. The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Information Systems and Applications, incl. Internet/Web, and HCI, 11473

Release date

August 2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

332

Edition

1st ed. 2019

ISBN-13

978-3-03-028060-4

Barcode

9783030280604

Categories

LSN

3-03-028060-8



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